Name	Size	Mode	Actions
__pycache__/	-	0755	rm
auto_factory.py	35279	0644	editdlrm
configuration_auto.py	30151	0644	editdlrm
dynamic.py	9832	0644	editdlrm
feature_extraction_auto.py	16303	0644	editdlrm
modeling_auto.py	36472	0644	editdlrm
modeling_flax_auto.py	12342	0644	editdlrm
modeling_tf_auto.py	20314	0644	editdlrm
processing_auto.py	12289	0644	editdlrm
tokenization_auto.py	30678	0644	editdlrm
__init__.py	11239	0644	editdlrm

# flake8: noqa # There's no way to ignore "F401 '...' imported but unused" warnings in this # module, but to preserve other warnings. So, don't check this module at all. # Copyright 2020 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from typing import TYPE_CHECKING from ...utils import _LazyModule, is_flax_available, is_tf_available, is_torch_available _import_structure = { "auto_factory": ["get_values"], "configuration_auto": ["ALL_PRETRAINED_CONFIG_ARCHIVE_MAP", "CONFIG_MAPPING", "MODEL_NAMES_MAPPING", "AutoConfig"], "feature_extraction_auto": ["FEATURE_EXTRACTOR_MAPPING", "AutoFeatureExtractor"], "processing_auto": ["PROCESSOR_MAPPING", "AutoProcessor"], "tokenization_auto": ["TOKENIZER_MAPPING", "AutoTokenizer"], } if is_torch_available(): _import_structure["modeling_auto"] = [ "MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING", "MODEL_FOR_AUDIO_XVECTOR_MAPPING", "MODEL_FOR_CAUSAL_IMAGE_MODELING_MAPPING", "MODEL_FOR_CAUSAL_LM_MAPPING", "MODEL_FOR_CTC_MAPPING", "MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING", "MODEL_FOR_IMAGE_SEGMENTATION_MAPPING", "MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING", "MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING", "MODEL_FOR_MASKED_LM_MAPPING", "MODEL_FOR_MULTIPLE_CHOICE_MAPPING", "MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING", "MODEL_FOR_OBJECT_DETECTION_MAPPING", "MODEL_FOR_PRETRAINING_MAPPING", "MODEL_FOR_QUESTION_ANSWERING_MAPPING", "MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING", "MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING", "MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING", "MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING", "MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING", "MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING", "MODEL_FOR_VISION_2_SEQ_MAPPING", "MODEL_MAPPING", "MODEL_WITH_LM_HEAD_MAPPING", "AutoModel", "AutoModelForAudioClassification", "AutoModelForAudioFrameClassification", "AutoModelForAudioXVector", "AutoModelForCausalLM", "AutoModelForCTC", "AutoModelForImageClassification", "AutoModelForImageSegmentation", "AutoModelForInstanceSegmentation", "AutoModelForMaskedImageModeling", "AutoModelForMaskedLM", "AutoModelForMultipleChoice", "AutoModelForNextSentencePrediction", "AutoModelForObjectDetection", "AutoModelForPreTraining", "AutoModelForQuestionAnswering", "AutoModelForSemanticSegmentation", "AutoModelForSeq2SeqLM", "AutoModelForSequenceClassification", "AutoModelForSpeechSeq2Seq", "AutoModelForTableQuestionAnswering", "AutoModelForTokenClassification", "AutoModelForVision2Seq", "AutoModelWithLMHead", ] if is_tf_available(): _import_structure["modeling_tf_auto"] = [ "TF_MODEL_FOR_CAUSAL_LM_MAPPING", "TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING", "TF_MODEL_FOR_MASKED_LM_MAPPING", "TF_MODEL_FOR_MULTIPLE_CHOICE_MAPPING", "TF_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING", "TF_MODEL_FOR_PRETRAINING_MAPPING", "TF_MODEL_FOR_QUESTION_ANSWERING_MAPPING", "TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING", "TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING", "TF_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING", "TF_MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING", "TF_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING", "TF_MODEL_FOR_VISION_2_SEQ_MAPPING", "TF_MODEL_MAPPING", "TF_MODEL_WITH_LM_HEAD_MAPPING", "TFAutoModel", "TFAutoModelForCausalLM", "TFAutoModelForImageClassification", "TFAutoModelForMaskedLM", "TFAutoModelForMultipleChoice", "TFAutoModelForPreTraining", "TFAutoModelForQuestionAnswering", "TFAutoModelForSeq2SeqLM", "TFAutoModelForSequenceClassification", "TFAutoModelForSpeechSeq2Seq", "TFAutoModelForTableQuestionAnswering", "TFAutoModelForTokenClassification", "TFAutoModelForVision2Seq", "TFAutoModelWithLMHead", ] if is_flax_available(): _import_structure["modeling_flax_auto"] = [ "FLAX_MODEL_FOR_CAUSAL_LM_MAPPING", "FLAX_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING", "FLAX_MODEL_FOR_MASKED_LM_MAPPING", "FLAX_MODEL_FOR_MULTIPLE_CHOICE_MAPPING", "FLAX_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING", "FLAX_MODEL_FOR_PRETRAINING_MAPPING", "FLAX_MODEL_FOR_QUESTION_ANSWERING_MAPPING", "FLAX_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING", "FLAX_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING", "FLAX_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING", "FLAX_MODEL_FOR_VISION_2_SEQ_MAPPING", "FLAX_MODEL_MAPPING", "FlaxAutoModel", "FlaxAutoModelForCausalLM", "FlaxAutoModelForImageClassification", "FlaxAutoModelForMaskedLM", "FlaxAutoModelForMultipleChoice", "FlaxAutoModelForNextSentencePrediction", "FlaxAutoModelForPreTraining", "FlaxAutoModelForQuestionAnswering", "FlaxAutoModelForSeq2SeqLM", "FlaxAutoModelForSequenceClassification", "FlaxAutoModelForTokenClassification", "FlaxAutoModelForVision2Seq", ] if TYPE_CHECKING: from .auto_factory import get_values from .configuration_auto import ALL_PRETRAINED_CONFIG_ARCHIVE_MAP, CONFIG_MAPPING, MODEL_NAMES_MAPPING, AutoConfig from .feature_extraction_auto import FEATURE_EXTRACTOR_MAPPING, AutoFeatureExtractor from .processing_auto import PROCESSOR_MAPPING, AutoProcessor from .tokenization_auto import TOKENIZER_MAPPING, AutoTokenizer if is_torch_available(): from .modeling_auto import ( MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING, MODEL_FOR_AUDIO_XVECTOR_MAPPING, MODEL_FOR_CAUSAL_IMAGE_MODELING_MAPPING, MODEL_FOR_CAUSAL_LM_MAPPING, MODEL_FOR_CTC_MAPPING, MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING, MODEL_FOR_IMAGE_SEGMENTATION_MAPPING, MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING, MODEL_FOR_MASKED_IMAGE_MODELING_MAPPING, MODEL_FOR_MASKED_LM_MAPPING, MODEL_FOR_MULTIPLE_CHOICE_MAPPING, MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING, MODEL_FOR_OBJECT_DETECTION_MAPPING, MODEL_FOR_PRETRAINING_MAPPING, MODEL_FOR_QUESTION_ANSWERING_MAPPING, MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING, MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING, MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING, MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING, MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING, MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING, MODEL_FOR_VISION_2_SEQ_MAPPING, MODEL_MAPPING, MODEL_WITH_LM_HEAD_MAPPING, AutoModel, AutoModelForAudioClassification, AutoModelForAudioFrameClassification, AutoModelForAudioXVector, AutoModelForCausalLM, AutoModelForCTC, AutoModelForImageClassification, AutoModelForImageSegmentation, AutoModelForInstanceSegmentation, AutoModelForMaskedImageModeling, AutoModelForMaskedLM, AutoModelForMultipleChoice, AutoModelForNextSentencePrediction, AutoModelForObjectDetection, AutoModelForPreTraining, AutoModelForQuestionAnswering, AutoModelForSemanticSegmentation, AutoModelForSeq2SeqLM, AutoModelForSequenceClassification, AutoModelForSpeechSeq2Seq, AutoModelForTableQuestionAnswering, AutoModelForTokenClassification, AutoModelForVision2Seq, AutoModelWithLMHead, ) if is_tf_available(): from .modeling_tf_auto import ( TF_MODEL_FOR_CAUSAL_LM_MAPPING, TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING, TF_MODEL_FOR_MASKED_LM_MAPPING, TF_MODEL_FOR_MULTIPLE_CHOICE_MAPPING, TF_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING, TF_MODEL_FOR_PRETRAINING_MAPPING, TF_MODEL_FOR_QUESTION_ANSWERING_MAPPING, TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING, TF_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING, TF_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING, TF_MODEL_FOR_TABLE_QUESTION_ANSWERING_MAPPING, TF_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING, TF_MODEL_FOR_VISION_2_SEQ_MAPPING, TF_MODEL_MAPPING, TF_MODEL_WITH_LM_HEAD_MAPPING, TFAutoModel, TFAutoModelForCausalLM, TFAutoModelForImageClassification, TFAutoModelForMaskedLM, TFAutoModelForMultipleChoice, TFAutoModelForPreTraining, TFAutoModelForQuestionAnswering, TFAutoModelForSeq2SeqLM, TFAutoModelForSequenceClassification, TFAutoModelForSpeechSeq2Seq, TFAutoModelForTableQuestionAnswering, TFAutoModelForTokenClassification, TFAutoModelForVision2Seq, TFAutoModelWithLMHead, ) if is_flax_available(): from .modeling_flax_auto import ( FLAX_MODEL_FOR_CAUSAL_LM_MAPPING, FLAX_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING, FLAX_MODEL_FOR_MASKED_LM_MAPPING, FLAX_MODEL_FOR_MULTIPLE_CHOICE_MAPPING, FLAX_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING, FLAX_MODEL_FOR_PRETRAINING_MAPPING, FLAX_MODEL_FOR_QUESTION_ANSWERING_MAPPING, FLAX_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING, FLAX_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING, FLAX_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING, FLAX_MODEL_FOR_VISION_2_SEQ_MAPPING, FLAX_MODEL_MAPPING, FlaxAutoModel, FlaxAutoModelForCausalLM, FlaxAutoModelForImageClassification, FlaxAutoModelForMaskedLM, FlaxAutoModelForMultipleChoice, FlaxAutoModelForNextSentencePrediction, FlaxAutoModelForPreTraining, FlaxAutoModelForQuestionAnswering, FlaxAutoModelForSeq2SeqLM, FlaxAutoModelForSequenceClassification, FlaxAutoModelForTokenClassification, FlaxAutoModelForVision2Seq, ) else: import sys sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)